Phylogeography in continuous space: coupling species distribution models and circuit theory to assess the effect of contiguous migration at different climatic periods on genetic differentiation in Busseola fusca (Lepidoptera: Noctuidae)

Current population genetic models fail to cope with genetic differentiation for species with large, contiguous and heterogeneous distribution. We show that in such a case, genetic differentiation can be predicted at equilibrium by circuit theory, where conductance corresponds to abundance in species...

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Published in:Molecular ecology Vol. 23; no. 9; pp. 2313 - 2325
Main Authors: Dupas, S, Ru, B, Branca, A, Faure, N, Gigot, G, Campagne, P, Sezonlin, M, Ndemah, R, Ong'amo, G, Calatayud, P.‐A, Silvain, J.‐F
Format: Journal Article
Language:English
Published: England Blackwell Science 01-05-2014
Blackwell Publishing Ltd
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Summary:Current population genetic models fail to cope with genetic differentiation for species with large, contiguous and heterogeneous distribution. We show that in such a case, genetic differentiation can be predicted at equilibrium by circuit theory, where conductance corresponds to abundance in species distribution models (SDMs). Circuit‐SDM approach was used for the phylogeographic study of the lepidopteran cereal stemborer Busseola fuscaFüller (Noctuidae) across sub‐Saharan Africa. Species abundance was surveyed across its distribution range. SDMs were optimized and selected by cross‐validation. Relationship between observed matrices of genetic differentiation between individuals, and between matrices of resistance distance was assessed through Mantel tests and redundancy discriminant analyses (RDAs). A total of 628 individuals from 130 localities in 17 countries were genotyped at seven microsatellite loci. Six population clusters were found based on a Bayesian analysis. The eastern margin of Dahomey gap between East and West Africa was the main factor of genetic differentiation. The SDM projections at present, last interglacial and last glacial maximum periods were used for the estimation of circuit resistance between locations of genotyped individuals. For all periods of time, when using either all individuals or only East African individuals, partial Mantel r and RDA conditioning on geographic distance were found significant. Under future projections (year 2080), partial r and RDA significance were different. From this study, it is concluded that analytical solutions provided by circuit theory are useful for the evolutionary management of populations and for phylogeographic analysis when coalescence times are not accessible by approximate Bayesian simulations.
Bibliography:http://dx.doi.org/10.1111/mec.12730
ArticleID:MEC12730
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Fig. S1 Workflow diagram for the connectivity analysis based on species distribution modelling (Circuit-SDM analysis).Fig. S2 Population tree of Busseola fusca obtained in Geneland Bayesian analysis.Table S1 Statistics of the six Geneland genetic clusters detected in Busseola fusca. Table S2 Population expansion tests on Geneland populations. Table S3 Species distribution model comparison on test data. Table S4 Association between genetic distance and circuit-SDM model of genetic differentiation assessed by redundancy discriminant analysis, conditioning on geographic distance.Appendix S1 Materials and methods.
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ISSN:0962-1083
1365-294X
DOI:10.1111/mec.12730